Suppr超能文献

分娩时需要高剂量催产素的女性中的新型催产素受体变体。

Novel oxytocin receptor variants in laboring women requiring high doses of oxytocin.

作者信息

Reinl Erin L, Goodwin Zane A, Raghuraman Nandini, Lee Grace Y, Jo Erin Y, Gezahegn Beakal M, Pillai Meghan K, Cahill Alison G, de Guzman Strong Cristina, England Sarah K

机构信息

Department of Obstetrics and Gynecology, Center for Reproductive Health Sciences, Washington University in St. Louis, School of Medicine, St. Louis, MO.

Division of Dermatology, Center for Pharmacogenomics, Center for the Study of Itch, Department of Medicine, Washington University in St. Louis, School of Medicine, St. Louis, MO.

出版信息

Am J Obstet Gynecol. 2017 Aug;217(2):214.e1-214.e8. doi: 10.1016/j.ajog.2017.04.036. Epub 2017 Apr 26.

Abstract

BACKGROUND

Although oxytocin commonly is used to augment or induce labor, it is difficult to predict its effectiveness because oxytocin dose requirements vary significantly among women. One possibility is that women requiring high or low doses of oxytocin have variations in the oxytocin receptor gene.

OBJECTIVES

To identify oxytocin receptor gene variants in laboring women with low and high oxytocin dosage requirements.

STUDY DESIGN

Term, nulliparous women requiring oxytocin doses of ≤4 mU/min (low-dose-requiring, n = 83) or ≥20 mU/min (high-dose-requiring, n = 104) for labor augmentation or induction provided consent to a postpartum blood draw as a source of genomic DNA. Targeted-amplicon sequencing (coverage >30×) with MiSeq (Illumina) was performed to discover variants in the coding exons of the oxytocin receptor gene. Baseline relevant clinical history, outcomes, demographics, and oxytocin receptor gene sequence variants and their allele frequencies were compared between low-dose-requiring and high-dose-requiring women. The Scale-Invariant Feature Transform algorithm was used to predict the effect of variants on oxytocin receptor function. The Fisher exact or χ tests were used for categorical variables, and Student t tests or Wilcoxon rank sum tests were used for continuous variables. A P value < .05 was considered statistically significant.

RESULTS

The high-dose-requiring women had greater rates of obesity and diabetes and were more likely to have undergone labor induction and required prostaglandins. High-dose-requiring women were more likely to undergo cesarean delivery for first-stage arrest and less likely to undergo cesarean delivery for nonreassuring fetal status. Targeted sequencing of the oxytocin receptor gene in the total cohort (n = 187) revealed 30 distinct coding variants: 17 nonsynonymous, 11 synonymous, and 2 small structural variants. One novel variant (A243T) was found in both the low- and high-dose-requiring groups. Three novel variants (Y106H, A240_A249del, and P197delfs*206) resulting in an amino acid substitution, loss of 9 amino acids, and a frameshift stop mutation, respectively, were identified only in low-dose-requiring women. Nine nonsynonymous variants were unique to the high-dose-requiring group. These included 3 known variants (R151C, G221S, and W228C) and 6 novel variants (M133V, R150L, H173R, A248V, G253R, and I266V). Of these, R150L, R151C, and H173R were predicted by Scale-Invariant Feature Transform algorithm to damage oxytocin receptor function. There was no statistically significant association between the numbers of synonymous and nonsynonymous substitutions in the patient groups.

CONCLUSION

Obesity, diabetes, and labor induction were associated with the requirement for high doses of oxytocin. We did not identify significant differences in the prevalence of oxytocin receptor variants between low-dose-requiring and high-dose-requiring women, but novel oxytocin receptor variants were enriched in the high-dose-requiring women. We also found 3 oxytocin receptor variants (2 novel, 1 known) that were predicted to damage oxytocin receptor function and would likely increase an individual's risk for requiring a high oxytocin dose. Further investigation of oxytocin receptor variants and their effects on protein function will inform precision medicine in pregnant women.

摘要

背景

尽管催产素常用于加强宫缩或引产,但由于不同女性对催产素的剂量需求差异很大,因此难以预测其效果。一种可能性是,需要高剂量或低剂量催产素的女性,其催产素受体基因存在差异。

目的

识别催产素剂量需求低和高的分娩女性的催产素受体基因变异。

研究设计

足月、初产妇在引产或加强宫缩时需要的催产素剂量≤4 mU/分钟(低剂量需求组,n = 83)或≥20 mU/分钟(高剂量需求组,n = 104),她们同意产后采血作为基因组DNA的来源。使用MiSeq(Illumina)进行靶向扩增子测序(覆盖度>30×),以发现催产素受体基因编码外显子中的变异。比较低剂量需求组和高剂量需求组之间的基线相关临床病史、结局、人口统计学特征以及催产素受体基因序列变异及其等位基因频率。使用尺度不变特征变换算法预测变异对催产素受体功能的影响。分类变量采用Fisher精确检验或χ检验,连续变量采用Student t检验或Wilcoxon秩和检验。P值<0.05被认为具有统计学意义。

结果

高剂量需求组女性的肥胖和糖尿病发生率更高,更有可能接受引产且需要使用前列腺素。高剂量需求组女性因第一产程停滞而行剖宫产的可能性更大,因胎儿状况不佳而行剖宫产的可能性更小。对整个队列(n = 187)的催产素受体基因进行靶向测序,发现了30种不同的编码变异:17种非同义变异、11种同义变异和2种小的结构变异。在低剂量需求组和高剂量需求组中均发现了一种新变异(A243T)。仅在低剂量需求组女性中发现了3种新变异(Y106H、A240_A249del和P197delfs*206),分别导致氨基酸替代、9个氨基酸缺失和移码终止突变。9种非同义变异是高剂量需求组所特有的。其中包括3种已知变异(R151C、G221S和W228C)和6种新变异(M133V、R150L、H173R、A248V、G253R和I266V)。其中,尺度不变特征变换算法预测R150L、R151C和H173R会损害催产素受体功能。患者组中同义替换和非同义替换的数量之间无统计学显著关联。

结论

肥胖、糖尿病和引产与高剂量催产素的需求有关。我们未发现低剂量需求组和高剂量需求组女性在催产素受体变异患病率上存在显著差异,但高剂量需求组女性中富集了新的催产素受体变异。我们还发现了3种催产素受体变异(2种新变异、1种已知变异),预测它们会损害催产素受体功能,可能会增加个体需要高剂量催产素的风险。对催产素受体变异及其对蛋白质功能的影响进行进一步研究,将为孕妇的精准医学提供信息。

相似文献

3
High- versus low-dose oxytocin for augmentation or induction of labor.高剂量与低剂量缩宫素用于引产或催产
Ann Pharmacother. 2005 Jan;39(1):95-101. doi: 10.1345/aph.1E037. Epub 2004 Nov 30.
6
Factors associated with higher oxytocin requirements in labor.分娩时催产素需求量较高的相关因素。
J Matern Fetal Neonatal Med. 2015 Sep;28(13):1614-9. doi: 10.3109/14767058.2014.963046. Epub 2014 Sep 29.
7
High and low dose oxytocin in augmentation of labor.高剂量和低剂量缩宫素用于引产
Int J Gynaecol Obstet. 2004 Oct;87(1):6-8. doi: 10.1016/j.ijgo.2004.06.004.

引用本文的文献

本文引用的文献

4
Ensembl 2016.Ensembl 2016。
Nucleic Acids Res. 2016 Jan 4;44(D1):D710-6. doi: 10.1093/nar/gkv1157. Epub 2015 Dec 19.
5
Factors associated with higher oxytocin requirements in labor.分娩时催产素需求量较高的相关因素。
J Matern Fetal Neonatal Med. 2015 Sep;28(13):1614-9. doi: 10.3109/14767058.2014.963046. Epub 2014 Sep 29.
6
Births: final data for 2010.出生情况:2010年最终数据。
Natl Vital Stat Rep. 2012 Aug 28;61(1):1-72.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验